Separation of Physiological Signals Using Minimum Norm Projection Operators

Objective: This paper presents the development of a fast and robust method which can be applied to multichannel physiologic signals for the purpose of either removing a selected interfering signal or separating signals that arise from temporally correlated and spatially distributed signals such as m...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2017-04, Vol.64 (4), p.904-916
Main Authors: Wilson, James D., Haueisen, Jens
Format: Article
Language:English
Subjects:
Algorithms
Animals
Cardiograms
Cardiotocography - methods
Computer Simulation
Covariance
Data Interpretation, Statistical
Data models
electrocardiogram (ECG)
Female
Fetuses
Heart
Heart Rate, Fetal - physiology
Humans
Independent component analysis (ICA)
Magnetic recording
Magnetic separation
magnetocardiogram (MCG)
Magnetocardiography - methods
magnetoencephalogram (MEG)
Mathematical model
Mathematical models
minimum norm
Models, Biological
Models, Statistical
Multichannel communication
Operators
Physiology
Projection
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Statistical models
Time series analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Objective: This paper presents the development of a fast and robust method which can be applied to multichannel physiologic signals for the purpose of either removing a selected interfering signal or separating signals that arise from temporally correlated and spatially distributed signals such as maternal or fetal cardiac waveform recordings. Methods: Projection operators based upon both the weighted and un-weighted minimum norm equations are presented. The weighted formulation uses models based on signal covariance and the un-weighted formulation requires that a statistical model be built using time-locked averaging. Results: We present examples that demonstrate the utility of our projection operators when applied to maternal and fetal magneto-cardiograms. In addition, we demonstrate the ability to separate fetal breathing signals from both maternal and fetal cardiac signals. Conclusion: The method is effective, robust, fast, and does not require significant input from a user. Significance: Although we demonstrate the utility of our projection operators applied to biomagnetic signals, the method can easily be adapted to other applications were the goal is to either separate or suppress selected signal components.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2016.2582643